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(1)

NETWORK CONFIGURATION

Conventional Network

Customer Store Materials

DC

Component Manufacturing Vendor

DC

Final Assembly

Finished Goods DC

Components DC Vendor

DC Plant

Warehouse

Finished Goods DC

Customer DC

Customer DC

Customer DC

Customer Store Customer

Store Customer

Store Customer

Store

Vendor DC

5-2

Network Design

Network design is a strategic decision. It has a long-term impact

on a supply chain’s performance.

It determines very much flexibility / responsiveness and cost

effectiveness of a supply chain.

Cost focus: Find the lowest-cost location for manufacturing

facilities.

Responsiveness: Locate facilities closer to the market to react

quickly to changing market needs.

(2)

Customer DC

Where inventory needs to be for a 5 day order

response time - typical results --> 2 DCs

Customer DC

Where inventory needs to be for a 3 day order

response time - typical results --> 5 DCs

Customer DC

Where inventory needs to be for a next day order

response time - typical results --> 13 DCs

Customer DC

Where inventory needs to be for a same day / next

day order response time - typical results --> 26 DCs

Service and Number of Facilities

Number of

Facilities

Inventory Costs and Number

of Facilities

(3)

Transportation Costs and

Number of Facilities

4-13

Transportation

Costs

Number of facilities

Facility Costs and Number

of Facilities

4-14

Facility

Costs

Number of facilities

4-15

Transportation

Total Costs Related to

Number of Facilities

T

o

tal

C

o

sts

Number of Facilities

Inventory Facilities

Total Costs

4-16

Response Time

Variation in Logistics Costs and Response

Time with Number of Facilities

Number of Facilities

Total Logistics Costs

Consolidation Vs Localization

Consolidation is necessary if products are relatively

standard and virtually no local features are needed

to be added.

Localization is suitable for products need high

responsiveness and local features are important.

HP design different printer for North American, Europe,

and Asia.

Factor Influencing Network Design

Decisions

Macroeconomic

Politic

Social

(4)

Macroeconomic Factors to Consider in Designing

a Network

Tariff and Tax incentives

–Guang Zhou offered free tax and other incentives for investors. Many manufacturing and High Tech. companies established factories in Guang Zhou as a result.

–US responded import and quota barriers by developing supplier in many countries.

Exchange Rates and Demand Risks

–In 1980s yen was appreciated. Exporting companies received lower profits. Many companies responded by moving operations overseas.

4-20

The Role of Distribution

in the Supply Chain

Distribution

: the steps taken to move and store a

product from the supplier stage to the customer

stage in a supply chain

Distribution directly affects cost and the customer

experience and therefore drives profitability

Choice of distribution network can achieve supply

chain objectives from low cost to high

responsiveness

Examples: Wal-Mart, Dell, Proctor & Gamble,

Grainger

4-21

Factors Influencing

Distribution Network Design

Distribution network performance evaluated

along two dimensions at the highest level:

Customer needs that are met

Cost of meeting customer needs

Distribution network design options must

therefore be compared according to their

impact on customer service and the cost to

provide this level of service

4-22

Factors Influencing

Distribution Network Design

Elements of customer service influenced by network structure:

Response time

Product variety

Product availability

Customer experience

Order visibility

Returnability

Supply chain costs affected by network structure:

Inventories

Transportation

Facilities and handling

Information

Produce consumer product

Main office in Cincinnati, Ohio, USA

Global scale benefits of a $79 billion

global company

300 brands in over 160 countries

(5)

Global Bussiness Unit

-

Beauty & Grooming

-

Health & Well Being

-

Household Care

Restrukturisasi P & G:

Menjadi lebih efisien dan responsive

• Secara umum terjadi perampingan dari 11 region menjadi 7 region. •North America

•South America •Western Europe

•Middle East dan Eastern Europe •North East Asia

•Greater China

•AAI dengan pusat di Singapore

• Thailand menjadi pusat produksi shampoo.

• Philippine akan dijadikan pusat pabrik detergent.

• Indonesia akan menjadi pusat produksi produk kesehatan dan perawatan rambut.

• Marketing berpusat di Singapore.

Keuntungan Restrukturisasi P & G

Penghematan biaya

transportasi staff

Peningkatan economic of

relationship dengan

supplier (membeli dengan

skala yang lebih besar)

Penghematan biaya

promosi

Case

CD-RW @

Hewlett-Packard

Initial Configuration

Japan

Malaysia

Netherlands

Singapore

USA

Europe

Asia Pacific

USA

Canada

Mexico

Latin America Mexico

USA - Miami Japan

Malaysia

Competitors Are Mushrooming:

Only 4 in 1997, more than 50 in 2001

Price decreases by 50% annually

(6)

Toward Major Changes

Problems with Initial Configuration

Long

Costly

Unresponsive

126 days of fulfillment

cycle:

–Transit from supplier to DC 30 days

–Involving 5 countries and 6 time zones

–Support from top management

–Incentives for keeping the spirit high

–Beer game to attract involvement (including suppliers)

Inventory turnover increases from 3 to 45

Lead time decreases from 126 days to 8

days.

Cost savings of US $ 50 million (from

overhead, inventory, negotiation with

suppliers)

MODELS FOR LOCATION PROBLEMS

Single Facility Location:

Center of Gravity, Grid,

Centroid.

Multi Facility Location:

Multiple gravity, Mixed

integer programming, Simulation, Heuristics.

Capacitated Plant Location Model

Gravity Location Models

• Is used to find the location that minimizes the cost of transporting raw materials from the points of supply and transporting finished goods to the customers.

• Let:

Xn, Yn: coordinate location of either a market or a supply point

Cn : cost of shipping one unit for one km from or to location n the facility to be located

Dn : Quantity to be shipped from or to location n to the facility dn : the distance to or from facility n to the facility

• The distance dn is approximated as follows: (If (x,y) is the coordinate of the location of the facility)

If there are k supply and market points then total cost of

transportation to and from the facility is:

The location that minimizes the TC can be obtained with the

following steps:

1. For each supply or market position n, calculate dnas above 2. Obtain a new location (x’,y’) where:

3. If the new location is almost the same as (x,y) then stop, otherwise

(7)

There are six existing facilities. The new one ( a

warehouse) will serve all six facilities.

5, 1

The Relevant Data

Xn Yn dn Dn Cn

First iteration using (x,y) = (0,0), Result (6.0, 6.4)

Xn Yn dn Dn Cn Total 2128.5 2280.2 354.2

X’=2128.5/354.2=6.0 Y’=2280.2/354.2=6.4

Second Iteration: Result (5.4, 6.9)

Xn Yn dn Dn Cn Total 5710.8 7302.1 1063.2

Third Iteration: Result (5.1, 6.9)

Xn Yn dn Dn Cn Total 6550.2 8807.8 1269.9

Fourth Iteration: Result (5.1, 6.9)

(8)

Final Position: Warehouse in (5.1, 6.9)

• Suppose there are n factories in different locations to be selected to satisfy demand in m market areas. Each factory location is associated with a fixed cost. The production and delivery costs to from each factory to each demand point is known.

• The problem to solve is: Which factory to open and from which factory each market demand is fulfilled?

• Suppose:

i = factory location (1, 2,…n) j = demand point (1, 2, … m) Dj = demand of market area j Ki = capacity of factory i fi = annualized fixed cost for factory i

cij = cost of producing and delivering one unit of product from factory i to demand area j

yi = 1 if factory i is selected, 0 otherwise xij = the amount shipped from factory i to market j

Capacitated Location Problem

Problem Structure

Factory (i)

Market area (j) x11

x32

Capacitated Location Problem

i Fixed JTM JTG JB JKT SS

Surabaya 250 5 10 15 16 25 5000 Pasuruan 165 10 12 17 18 25 3200 Gresik 180 6 9 14 12 24 4000 Tangerang 200 15 7 4 6 10 4000

Permintaan 2000 1800 1500 3000 1700

Penyelesaian dengan software LINDO

• MIN 250 Y1 + 165 Y2 + 180 Y3 + 200 Y4 + 5 X11 + 10 X12 + 15 X13 + 16 X14 + 25 X15 + 10 X21 + 12 X22 + 17 X23 + 18 X24 + 25 X25 + 6 X31 + 9 X32 + 14 X33 + 12 X34 + 24 X35 + 15 X41 + 7 X42 + 4 X43 + 6 X44 + 10 X45

• SUBJECT TO ! Capacity of each factory

X11 + X12 + X13 + X14 + X15 - 5000 Y1 <= 0

X21 + X22 + X23 + X24 + X25 - 3200 Y2 <= 0 X31 + X32 + X33 + X34 + X35 - 4000 Y3 <= 0 X41 + X42 + X43 + X44 + X45 - 4000 Y4 <= 0

! Demand of each market areas X11 + X21 + X31 + X41 = 2000 X12 + X22 + X32 + X42 = 1800

(9)

• ! Binary number of factory

OBJECTIVE FUNCTION VALUE

1) 81030.00

For total cost = 81030, build factory in Y1 (Surabaya), Y3 (Gresik), and Y4 (Tangerang), distribute: X11 (Surabaya—JTM) = 2000 X32 (Gresik—JTG) = 1800 X34 (Gresik—JKT) = 2200 X43 (Tangerang—JB) = 1500 X44 (Tangerang—JKT) = 800 X45 (Tangerang—SS) = 1700

Solution

Variabel yi JTM JTG JB JKT SS

Surabaya 1 2000 0 0 0 0 Pasuruan 0 0 0 0 0 0 Gresik 1 0 1800 0 2200 0

Tangerang 1 0 0 1500 800 1700

Penyelesaian dengan Solver Excel

Solusi Akhir

Dari hasil di atas dapat diketahui hal-hal sebagai berikut :

• Pabrik di Surabaya menyalurkan produk ke pasar JTM sebanyak 2000 unit.

• Pabrik di Gresik menyalurkan produk ke pasar JTG sebanyak 1800 unit dan ke pasar JKT sebanyak 2200 unit.

• Pabrik di Tangerang menyalurkan produk ke pasar JB sebanyak 1500 unit, ke JKT 800 unit, dan ke SS sebanyak 1700 unit.

• Total biaya pengiriman yang dihasilkan adalah sebesar Rp 81.030 per tahun.

Factory and Warehouse Location-Delivery

Problem

Market area (j)

x14 x46

5

(10)

Homework:

Use LP software to solve the following problem. You are to decide the most economical factory and warehouse selections.

From ׀To W1 W2 W3 Annual. fixed cost

Capacity

F1 320 330 400 2,200,000 4000

F2 400 300 370 1,800,000 4800

F3 200 220 250 2,500,000 5200

F!T M1 M2 M3 M4 M5 Ann.

Fixed cost

Annual Capacity

W1 420 320 320 220 180 200,000 3700

W2 350 180 700 120 110 350,000 4800

W3 230 620 200 340 250 380,000 5000

Annual Demand

Referensi

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